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1. |
Record Nr. |
UNINA9910969359703321 |
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Autore |
Persellin Diane |
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Titolo |
Concise Guide to Teaching With Desirable Difficulties |
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Pubbl/distr/stampa |
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Routledge, 2023 |
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New York : , : Routledge, , 2023 |
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ISBN |
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9781003442721 |
1003442722 |
9781620365021 |
1620365022 |
9781000971606 |
1000971600 |
9781000976885 |
1000976882 |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (120 p.) |
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Collana |
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Concise guide to teaching and learning series |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Foreword -- Mary-Ann Winkelmes Preface Acknowledgments Introduction. Why Make Learning Difficult? An Overview 1. Teaching a Growth Mind-Set 2. Retrieval Practice and Testing. A Key to Learning and Retention 3. Mix It Up to Make Learning Last. The Importance of Spacing and Interleaving 4. Don't Help the Learner So Much. Teaching Students to Learn from Setbacks Workshop 4.1. Problem-Based Learning 5. Teaching First-Year and At-Risk Students to Embrace Desirable Difficulties Workshop 5.1. Community-Based Learning 6. Negotiating Student Resistance Appendix. Workshop. Teaching Online Courses With Desirable Difficulties Bibliography About the Authors Index. |
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Sommario/riassunto |
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This concise guidebook on desirable difficulties is designed to be a resource for academics who are interested in engaging students according to the findings of peer-reviewed literature and best practices but do not have the time to immerse themselves in the scholarship of |
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teaching and learning.Intentionally brief, the book is intended to: summarize recent research on five aspects of desirable difficulties; provide applications to the college classroom based on this research; include special sections about teaching strategies that are based on best practices; and offer annotated bibliographies and important citations for faculty who want to pursue additional study. The book will provide a foundation for instructors to teach using evidence-based strategies that will strengthen learning and retention in their classrooms.In addition to chapters on the desirable difficulties, the book also includes chapters on teaching first-year and at-risk students to embrace this approach, on negotiating student resistance, and on using this approach in teaching online. |
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2. |
Record Nr. |
UNINA9910255009503321 |
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Autore |
Xu Jiuping |
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Titolo |
Random-Like Bi-level Decision Making / / by Jiuping Xu, Zongmin Li, Zhimiao Tao |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (411 p.) |
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Collana |
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Lecture Notes in Economics and Mathematical Systems, , 2196-9957 ; ; 688 |
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Disciplina |
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Soggetti |
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Computer science - Mathematics |
Probabilities |
Mathematical statistics - Data processing |
Algorithms |
Mathematics |
Computer programming |
Mathematics of Computing |
Probability Theory |
Statistics and Computing |
Applications of Mathematics |
Programming Techniques |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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1: Foundations of Random-like Bi-level Decision Making -- 2: Bi-level Decision Making in Random Phenomenon -- 3: Bi-level Decision Making in Ra-Ra Phenomenon -- 4: Bi-level Decision Making in Ra-Fu Phenomenon -- 5: Methodology From an Equilibria Viewpoints -- Appendix: MATLAB Codes -- Index. |
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Sommario/riassunto |
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Among the various multi-level formulations of mathematical models in decision making processes, this book focuses on the bi-level model. Being the most frequently used, the bi-level model addresses conflicts which exist in multi-level decision making processes. From the perspective of bi-level structure and uncertainty, this book takes real-life problems as the background, focuses on the so-called random-like uncertainty, and develops the general framework of random-like bi-level decision making problems. The random-like uncertainty considered in this book includes random phenomenon, random-overlapped random (Ra-Ra) phenomenon and fuzzy-overlapped random (Ra-Fu) phenomenon. Basic theory, models, algorithms and practical applications for different types of random-like bi-level decision making problems are also presented in this book. |
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